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CVPR
2006
IEEE
16 years 9 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
DFG
2007
Springer
16 years 1 months ago
Natural Neighbor Concepts in Scattered Data Interpolation and Discrete Function Approximation
: The concept of natural neighbors employs the notion of distance to define local neighborhoods in discrete data. Especially when querying and accessing large scale data, it is im...
Tom Bobach, Georg Umlauf
MSV
2007
15 years 8 months ago
Visualizing the Inner Structure of N-Body Data Using Skeletonization
N-body simulations solve the n-body problem numerically and determine the trajectories of the n point masses. The result of these calculations is a huge amount of data detailing th...
Edward Dale, Hans-Peter Bischof
JMLR
2008
117views more  JMLR 2008»
15 years 7 months ago
Closed Sets for Labeled Data
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
Gemma C. Garriga, Petra Kralj, Nada Lavrac
150
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JMLR
2007
58views more  JMLR 2007»
15 years 7 months ago
Distances between Data Sets Based on Summary Statistics
The concepts of similarity and distance are crucial in data mining. We consider the problem of defining the distance between two data sets by comparing summary statistics compute...
Nikolaj Tatti